Data Scientist

360 VUZ

Dubai, Dubai, United Arab Emirates Full-time Posted 30+ days ago
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Job Summary The job holder will be responsible for developing a deep understanding of the users, analyzing the users’ behavior, growing our user base, and improving the users experience and retention.   Responsibilities * Collaborate with the Product, Content and Tech Teams on optimizing and developing consumer facing products. * Analyze UX and customer journeys to identify opportunities and improvement. * Track, measure and analyze the platform’s subscription & sales funnels. * Setup, monitor and analyze AB tests continuously to improve feature and design * Build rich & insightful reports that can provide recommendations on features that will improve the overall platform’s user experience. * Be a driving force in product development, backing up suggestions with evidence and derive actionable insights * Facilitate data driven decision making across the company   Requirements * Bachelor's degree in Computer Science, Software Engineering or a related field. * Master’s degree in Data Science or Business Intelligence would be a plus. * Minimum 5 years of experience in similar role * Previous experience in dealing with SaaS platforms on a large scale of active Subscribers (500K+ Paid Subscribers) * Experience with user behavior analysis * Experience using Machine and Deep Learning languages, preferably Python and its related tools (NumPy, Scikit, Pandas, OCR, etc), to manipulate data and draw insights from large data sets. * Practical experience with ML algorithms for classification, regression, clustering, recommender systems, reinforcement learning, and dimensionality reduction. * Experience building data pipelines and data-centric applications using different Databases such as  MySQL, Redshift, MongoDB. * Expert in dealing with different 3rd party Analytics Platforms such as Firebase, Google Analytics and Amplitude. * An added advantage for candidates who has work experience on TensorFlowand AWS SageMaker. * Expert in User Funnels Analysis & Optimization, and Retention & Engagement

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